Triple
T17183697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaughan Oliver |
E417044
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object |
v23
v23 was a renowned British graphic design studio best known for its distinctive album artwork, particularly for the 4AD record label.
|
E1254472
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: v23 | Statement: [Vaughan Oliver, coFounded, v23]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: v23 Context triple: [Vaughan Oliver, coFounded, v23]
-
A.
V2
V2 is a class of British 2-6-2 steam locomotives designed by Sir Nigel Gresley for mixed-traffic duties on the London and North Eastern Railway.
-
B.
V-320
V-320 is a Soviet-designed VVER-1000 pressurized water reactor model widely used in nuclear power plants such as the Kalinin plant.
-
C.
G23
G23 is BMW’s internal model code for the second-generation 4 Series Convertible, a compact luxury drop-top introduced in the early 2020s.
-
D.
N-230
N-230 is a major Spanish national road that connects the Val d’Aran in the Pyrenees with other regions, serving as an important transport route in northeastern Spain.
-
E.
VP30
VP30 is a viral transcription factor protein of ebolaviruses that is essential for initiating and regulating the transcription of the viral genome.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: v23 Triple: [Vaughan Oliver, coFounded, v23]
Generated description
v23 was a renowned British graphic design studio best known for its distinctive album artwork, particularly for the 4AD record label.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: v23 Target entity description: v23 was a renowned British graphic design studio best known for its distinctive album artwork, particularly for the 4AD record label.
-
A.
V2
V2 is a class of British 2-6-2 steam locomotives designed by Sir Nigel Gresley for mixed-traffic duties on the London and North Eastern Railway.
-
B.
V-320
V-320 is a Soviet-designed VVER-1000 pressurized water reactor model widely used in nuclear power plants such as the Kalinin plant.
-
C.
G23
G23 is BMW’s internal model code for the second-generation 4 Series Convertible, a compact luxury drop-top introduced in the early 2020s.
-
D.
N-230
N-230 is a major Spanish national road that connects the Val d’Aran in the Pyrenees with other regions, serving as an important transport route in northeastern Spain.
-
E.
VP30
VP30 is a viral transcription factor protein of ebolaviruses that is essential for initiating and regulating the transcription of the viral genome.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d9416a48190a5930fcd6008dbaa |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148490e448190a871483f81394aab |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a0149a552c88190a4f615f67459a705 |
completed | May 11, 2026, 3:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014a095934819097be0ad099bcde66 |
completed | May 11, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:37 a.m.